I would offer a somewhat more optimistic take: humans are still better learners than machines are, and our algorithms still do not capture well the way our thinking (and intuition) works. Really, we have only started with machine learning a few decades ago; catching up with millions of years of evolution can be expected to take a bit longer.
Maybe its the pain of my previous AI job talking but when the choice is just an opaque hunch of an expert, it doesn't feel like a victory for human intelligence. A victory for human intelligence looks much like the discovery of a physical law where you both deal with a phenomenon and communicate how someone else can also deal with it.
What is quintessentially human in the modern sense is human beings understanding ourselves rather than
But I would take a more pessimistic interpretation of this.
That is: all our "learning algorithms" has failed to learn and those with some clever heuristics succeed versus the broken methods we so-far have.